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声音与震动阵列的分析、实现与应用
引用本文:STAFSUDD J Z, ASGARI S, ALI A M, CHEN C E, HUDSON R E, LORENZELLI F, YAO K, TACIROGLU E. 声音与震动阵列的分析、实现与应用. 自动化学报, 2006, 32(6): 929-937.
作者姓名:STAFSUDD J Z  ASGARI S  ALI A M  CHEN C E  HUDSON R E  LORENZELLI F  YAO K  TACIROGLU E
作者单位:1.Electrical Engineering Department, Los Angeles, CA 90095, USACivil and Environmental Engineering Department, Los Angeles, CA 90095, USA
摘    要:In this paper, we consider the analysis, implementation, and application of wideband sources using both seismic and acoustic sensors. We use the approximate maximum likelihood (AML) algorithm to perform acoustic direction of arrival (DOA). For non-uniform noise spectra, whitening filtering was applied to the received acoustic signals before the AML operation. For short-range seismic DOA applications, one method was based on eigen-decomposition of the covariance matrix and a second method was based on surface wave analysis. Two well-known optimization schemes were used to estimate the source locations from the estimated DOAs at sensors of known locations. Experimental estimation of the DOAs and resulting localizations using the acoustic and seismic signals generated by striking a heavy metal plate by a hammer were reported.

关 键 词:Acoustic array   seismic array   beamforming   DOA   localization
收稿时间:2006-01-07
修稿时间:2006-04-04

Analysis, Implementation, and Application of Acoustic and Seismic Arrays
STAFSUDD J Z, ASGARI S, ALI A M, CHEN C E, HUDSON R E, LORENZELLI F, YAO K, TACIROGLU E. Analysis, Implementation, and Application of Acoustic and Seismic Arrays. ACTA AUTOMATICA SINICA, 2006, 32(6): 929-937.
Authors:STAFSUDD J Z  ASGARI S  ALI A M  CHEN C E  HUDSON R E  LORENZELLI F  YAO K  TACIROGLU E
Affiliation:1. Electrical Engineering Department, Los Angeles, CA 90095, USACivil and Environmental Engineering Department, Los Angeles, CA 90095, USA
Abstract:In this paper, we consider the analysis, implementation, and application of wideband sources using both seismic and acoustic sensors. We use the approximate maximum likelihood (AML) algorithm to perform acoustic direction of arrival (DOA). For non-uniform noise spectra, whitening filtering was applied to the received acoustic signals before the AML operation. For short-range seismic DOA applications, one method was based on eigen-decomposition of the covariance matrix and a second method was based on surface wave analysis. Two well-known optimization schemes were used to estimate the source locations from the estimated DOAs at sensors of known locations. Experimental estimation of the DOAs and resulting localizations using the acoustic and seismic signals generated by striking a heavy metal plate by a hammer were reported.
Keywords:Acoustic array  seismic array  beamforming  DOA  localization
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